Spaces:
Sleeping
Sleeping
File size: 15,643 Bytes
fb5dc87 888355f fb5dc87 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 | """
Parameter Standardization Utility
Handles consistent naming and mapping of soil and leaf analysis parameters
across all modules in the CropDrive™ AI Assistant system.
"""
import re
from typing import Dict, List, Any, Optional
class ParameterStandardizer:
"""Centralized parameter standardization for soil and leaf analysis data"""
def __init__(self):
# Standard parameter names (canonical format)
self.STANDARD_SOIL_PARAMS = {
'pH': 'pH',
'nitrogen': 'N (%)',
'organic_carbon': 'Org. C (%)',
'total_phosphorus': 'Total P (mg/kg)',
'available_phosphorus': 'Avail P (mg/kg)',
'exchangeable_potassium': 'Exch. K (meq/100 g)',
'exchangeable_calcium': 'Exch. Ca (meq/100 g)',
'exchangeable_magnesium': 'Exch. Mg (meq/100 g)',
'cec': 'CEC (meq/100 g)'
}
self.STANDARD_LEAF_PARAMS = {
'nitrogen': 'N (%)',
'phosphorus': 'P (%)',
'potassium': 'K (%)',
'magnesium': 'Mg (%)',
'calcium': 'Ca (%)',
'boron': 'B (mg/kg)',
'copper': 'Cu (mg/kg)',
'zinc': 'Zn (mg/kg)'
}
# Comprehensive mapping of all possible parameter name variations
self.PARAMETER_VARIATIONS = {
# pH variations
'pH': ['ph', 'pH', 'PH', 'p.h.', 'acidity', 'alkalinity'],
# Nitrogen variations
'N (%)': [
'nitrogen', 'n', 'n%', 'n (%)', 'n_%', 'nitrogen%', 'nitrogen (%)',
'nitrogen_%', 'total n', 'total nitrogen', 'total n (%)', 'total nitrogen (%)',
'Nitrogen (%)', 'Total Nitrogen (%)'
],
# Organic Carbon variations
'Org. C (%)': [
'organic carbon', 'organic_carbon', 'carbon', 'c', 'c%', 'c (%)',
'c_%', 'organic_carbon_%', 'org. c (%)', 'org c (%)', 'org.c (%)',
'Organic Carbon (%)', 'Org. C (%)'
],
# Total Phosphorus variations
'Total P (mg/kg)': [
'total phosphorus', 'total p', 'total_p', 'total phosphorus mg/kg',
'total_p_mg_kg', 'total p (mg/kg)', 'total_p_(mg/kg)'
],
# Available Phosphorus variations
'Avail P (mg/kg)': [
'available phosphorus', 'available p', 'available_p', 'avail p',
'avail_p', 'available phosphorus mg/kg', 'available_p_mg_kg',
'avail p (mg/kg)', 'avail_p_(mg/kg)', 'available p (mg/kg)',
'Available P (mg/kg)', 'Available Phosphorus (mg/kg)'
],
# Exchangeable Potassium variations
'Exch. K (meq/100 g)': [
'exchangeable potassium', 'exch k', 'exch_k', 'exchangeable k',
'exchangeable_k', 'k meq%', 'k_meq%', 'exchangeable_k_meq%',
'exch. k (meq%)', 'exch k (meq%)', 'exch. k meq%', 'exch k meq%',
'exch k (cmol/kg)', 'exch. k (cmol/kg)', 'exch k cmol/kg', 'exch. k cmol/kg',
'k meq/100 g', 'k_meq/100 g', 'exchangeable_k_meq/100 g',
'exch. k (meq/100 g)', 'exch k (meq/100 g)', 'exch. k meq/100 g', 'exch k meq/100 g'
],
# Exchangeable Calcium variations
'Exch. Ca (meq/100 g)': [
'exchangeable calcium', 'exch ca', 'exch_ca', 'exchangeable ca',
'exchangeable_ca', 'ca meq%', 'ca_meq%', 'exchangeable_ca_meq%',
'exch. ca (meq%)', 'exch ca (meq%)', 'exch. ca meq%', 'exch ca meq%',
'exch ca (cmol/kg)', 'exch. ca (cmol/kg)', 'exch ca cmol/kg', 'exch. ca cmol/kg',
'ca meq/100 g', 'ca_meq/100 g', 'exchangeable_ca_meq/100 g',
'exch. ca (meq/100 g)', 'exch ca (meq/100 g)', 'exch. ca meq/100 g', 'exch ca meq/100 g'
],
# Exchangeable Magnesium variations
'Exch. Mg (meq/100 g)': [
'exchangeable magnesium', 'exch mg', 'exch_mg', 'exchangeable mg',
'exchangeable_mg', 'mg meq%', 'mg_meq%', 'exchangeable_mg_meq%',
'exch. mg (meq%)', 'exch mg (meq%)', 'exch. mg meq%', 'exch mg meq%',
'exch mg (cmol/kg)', 'exch. mg (cmol/kg)', 'exch mg cmol/kg', 'exch. mg cmol/kg',
'mg meq/100 g', 'mg_meq/100 g', 'exchangeable_mg_meq/100 g',
'exch. mg (meq/100 g)', 'exch mg (meq/100 g)', 'exch. mg meq/100 g', 'exch mg meq/100 g'
],
# CEC variations
'CEC (meq/100 g)': [
'cec', 'cation exchange capacity', 'c.e.c', 'cec meq%', 'cec_meq%',
'cec (meq%)', 'c.e.c (meq%)', 'c.e.c meq%', 'cec (cmol/kg)', 'cec cmol/kg',
'C.E.C (meq%)', 'CEC (meq%)', 'cec meq/100 g', 'cec_meq/100 g',
'cec (meq/100 g)', 'c.e.c (meq/100 g)', 'c.e.c meq/100 g',
'C.E.C (meq/100 g)', 'CEC (meq/100 g)'
],
# Leaf parameter variations
'P (%)': [
'phosphorus', 'p', 'p%', 'p (%)', 'p_%', 'phosphorus%', 'phosphorus (%)',
'leaf phosphorus', 'leaf p', 'leaf_p'
],
'K (%)': [
'potassium', 'k', 'k%', 'k (%)', 'k_%', 'potassium%', 'potassium (%)',
'leaf potassium', 'leaf k', 'leaf_k'
],
'Mg (%)': [
'magnesium', 'mg', 'mg%', 'mg (%)', 'mg_%', 'magnesium%', 'magnesium (%)',
'leaf magnesium', 'leaf mg', 'leaf_mg'
],
'Ca (%)': [
'calcium', 'ca', 'ca%', 'ca (%)', 'ca_%', 'calcium%', 'calcium (%)',
'leaf calcium', 'leaf ca', 'leaf_ca'
],
'B (mg/kg)': [
'boron', 'b', 'b mg/kg', 'b_mg_kg', 'boron mg/kg', 'boron_mg_kg',
'b (mg/kg)', 'boron (mg/kg)', 'leaf boron', 'leaf b', 'leaf_b'
],
'Cu (mg/kg)': [
'copper', 'cu', 'cu mg/kg', 'cu_mg_kg', 'copper mg/kg', 'copper_mg_kg',
'cu (mg/kg)', 'copper (mg/kg)', 'leaf copper', 'leaf cu', 'leaf_cu'
],
'Zn (mg/kg)': [
'zinc', 'zn', 'zn mg/kg', 'zn_mg_kg', 'zinc mg/kg', 'zinc_mg_kg',
'zn (mg/kg)', 'zinc (mg/kg)', 'leaf zinc', 'leaf zn', 'leaf_zn'
]
}
# Create reverse mapping for quick lookup
self.variation_to_standard = {}
for standard, variations in self.PARAMETER_VARIATIONS.items():
for variation in variations:
self.variation_to_standard[variation.lower()] = standard
def standardize_parameter_name(self, param_name: str) -> Optional[str]:
"""
Convert any parameter name variation to the standard format
Args:
param_name: The parameter name to standardize
Returns:
Standard parameter name or None if not found
"""
if not param_name:
return None
# Clean the parameter name
clean_name = param_name.strip().lower()
clean_name = re.sub(r'\s+', ' ', clean_name) # Normalize whitespace
# Direct lookup
if clean_name in self.variation_to_standard:
return self.variation_to_standard[clean_name]
# Fuzzy matching for partial matches (more precise)
for variation, standard in self.variation_to_standard.items():
# Only match if the variation is a significant part of the clean_name
# Avoid matching single characters or very short variations
if len(variation) >= 3 and (variation in clean_name or clean_name in variation):
return standard
return None
def standardize_data_dict(self, data_dict: Dict[str, Any]) -> Dict[str, Any]:
"""
Standardize all parameter names in a data dictionary
Args:
data_dict: Dictionary with potentially non-standard parameter names
Returns:
Dictionary with standardized parameter names
"""
standardized = {}
for key, value in data_dict.items():
standard_key = self.standardize_parameter_name(key)
if standard_key:
standardized[standard_key] = value
else:
# Keep non-parameter keys as-is (like sample_id, lab_no, etc.)
standardized[key] = value
return standardized
def standardize_samples_list(self, samples: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
"""
Standardize parameter names in a list of sample dictionaries
Args:
samples: List of sample dictionaries
Returns:
List of samples with standardized parameter names
"""
return [self.standardize_data_dict(sample) for sample in samples]
def get_display_name_mapping(self, param_type: str = 'soil') -> Dict[str, str]:
"""
Get mapping from standard parameter names to display names
Args:
param_type: 'soil' or 'leaf'
Returns:
Dictionary mapping standard names to display names
"""
if param_type.lower() == 'soil':
return {
'pH': 'pH',
'N (%)': 'Nitrogen (%)',
'Org. C (%)': 'Organic Carbon (%)',
'Total P (mg/kg)': 'Total P (mg/kg)',
'Avail P (mg/kg)': 'Available P (mg/kg)',
'Exch. K (meq/100 g)': 'Exchangeable K (meq/100 g)',
'Exch. Ca (meq/100 g)': 'Exchangeable Ca (meq/100 g)',
'Exch. Mg (meq/100 g)': 'Exchangeable Mg (meq/100 g)',
'CEC (meq/100 g)': 'CEC (meq/100 g)'
}
else: # leaf
return {
'N (%)': 'Nitrogen (%)',
'P (%)': 'Phosphorus (%)',
'K (%)': 'Potassium (%)',
'Mg (%)': 'Magnesium (%)',
'Ca (%)': 'Calcium (%)',
'B (mg/kg)': 'Boron (mg/kg)',
'Cu (mg/kg)': 'Copper (mg/kg)',
'Zn (mg/kg)': 'Zinc (mg/kg)'
}
def validate_parameter_completeness(self, data_dict: Dict[str, Any], param_type: str = 'soil') -> Dict[str, Any]:
"""
Validate that all expected parameters are present and add missing ones with default values
Args:
data_dict: Data dictionary to validate
param_type: 'soil' or 'leaf'
Returns:
Dictionary with all expected parameters
"""
if param_type.lower() == 'soil':
expected_params = list(self.STANDARD_SOIL_PARAMS.values())
else:
expected_params = list(self.STANDARD_LEAF_PARAMS.values())
validated_data = data_dict.copy()
for param in expected_params:
if param not in validated_data:
validated_data[param] = 0.0 # Default value for missing parameters
return validated_data
@classmethod
def get_parameter_variations_mapping(cls) -> Dict[str, List[str]]:
"""Get parameter variations mapping for text analysis"""
return {
# Soil Parameters (9)
'ph': ['ph', 'ph level', 'soil ph', 'acidity', 'alkalinity'],
'nitrogen': ['nitrogen', 'n', 'n%', 'n_%', 'nitrogen%', 'nitrogen_%', 'n (%)', 'n(%)'],
'organic_carbon': ['organic carbon', 'organic_carbon', 'carbon', 'c', 'c%', 'c_%', 'organic_carbon_%', 'org. c (%)', 'org c (%)', 'org.c(%)'],
'total_phosphorus': ['total phosphorus', 'total p', 'total_p', 'total phosphorus mg/kg', 'total_p_mg_kg', 'total p (mg/kg)', 'total p(mg/kg)'],
'available_phosphorus': ['available phosphorus', 'available p', 'available_p', 'available phosphorus mg/kg', 'available_p_mg_kg', 'avail p (mg/kg)', 'avail p(mg/kg)'],
'exchangeable_potassium': ['exchangeable potassium', 'exch k', 'exch_k', 'exchangeable k', 'exchangeable_k', 'k meq%', 'k_meq%', 'exchangeable_k_meq%', 'exch. k (meq%)', 'exch k (meq%)', 'exch.k(meq%)'],
'exchangeable_calcium': ['exchangeable calcium', 'exch ca', 'exch_ca', 'exchangeable ca', 'exchangeable_ca', 'ca meq%', 'ca_meq%', 'exchangeable_ca_meq%', 'exch. ca (meq%)', 'exch ca (meq%)', 'exch.ca(meq%)'],
'exchangeable_magnesium': ['exchangeable magnesium', 'exch mg', 'exch_mg', 'exchangeable mg', 'exchangeable_mg', 'mg meq%', 'mg_meq%', 'exchangeable_mg_meq%', 'exch. mg (meq%)', 'exch mg (meq%)', 'exch.mg(meq%)'],
'cec': ['cec', 'cation exchange capacity', 'c.e.c', 'cec meq%', 'cec_meq%', 'cec (meq%)', 'cec(meq%)'],
# Leaf Parameters (8)
'leaf_nitrogen': ['leaf nitrogen', 'leaf n', 'leaf_n', 'n%', 'n_%', 'nitrogen%', 'nitrogen_%', 'n (%)', 'n(%)'],
'leaf_phosphorus': ['leaf phosphorus', 'leaf p', 'leaf_p', 'p%', 'p_%', 'phosphorus%', 'phosphorus_%', 'p (%)', 'p(%)'],
'leaf_potassium': ['leaf potassium', 'leaf k', 'leaf_k', 'k%', 'k_%', 'potassium%', 'potassium_%', 'k (%)', 'k(%)'],
'leaf_magnesium': ['leaf magnesium', 'leaf mg', 'leaf_mg', 'mg%', 'mg_%', 'magnesium%', 'magnesium_%', 'mg (%)', 'mg(%)'],
'leaf_calcium': ['leaf calcium', 'leaf ca', 'leaf_ca', 'ca%', 'ca_%', 'calcium%', 'calcium_%', 'ca (%)', 'ca(%)'],
'leaf_boron': ['leaf boron', 'leaf b', 'leaf_b', 'b mg/kg', 'b_mg_kg', 'boron mg/kg', 'boron_mg_kg', 'b (mg/kg)', 'b(mg/kg)'],
'leaf_copper': ['leaf copper', 'leaf cu', 'leaf_cu', 'cu mg/kg', 'cu_mg_kg', 'copper mg/kg', 'copper_mg_kg', 'cu (mg/kg)', 'cu(mg/kg)'],
'leaf_zinc': ['leaf zinc', 'leaf zn', 'leaf_zn', 'zn mg/kg', 'zn_mg_kg', 'zinc mg/kg', 'zinc_mg_kg', 'zn (mg/kg)', 'zn(mg/kg)'],
# Land & Yield Parameters
'land_size': ['land size', 'land_size', 'farm size', 'farm_size', 'area', 'hectares', 'acres', 'square meters', 'square_meters'],
'current_yield': ['current yield', 'current_yield', 'yield', 'production', 'tonnes/hectare', 'kg/hectare', 'tonnes/acre', 'kg/acre', 'yield per hectare', 'yield per acre'],
'yield_forecast': ['yield forecast', 'yield_forecast', 'projected yield', 'projected_yield', 'future yield', 'future_yield', 'yield projection', 'yield_projection'],
'economic_impact': ['economic impact', 'economic_impact', 'roi', 'return on investment', 'cost benefit', 'cost_benefit', 'profitability', 'revenue', 'income'],
# Legacy mappings for backward compatibility
'phosphorus': ['phosphorus', 'p', 'p%', 'p_%', 'phosphorus%', 'available p'],
'potassium': ['potassium', 'k', 'k%', 'k_%', 'potassium%'],
'calcium': ['calcium', 'ca', 'ca%', 'ca_%', 'calcium%'],
'magnesium': ['magnesium', 'mg', 'mg%', 'mg_%', 'magnesium%'],
'copper': ['copper', 'cu', 'cu mg/kg', 'cu_mg/kg', 'copper mg/kg'],
'zinc': ['zinc', 'zn', 'zn mg/kg', 'zn_mg/kg', 'zinc mg/kg'],
'boron': ['boron', 'b', 'b mg/kg', 'b_mg/kg', 'boron mg/kg']
}
# Global instance for easy import
parameter_standardizer = ParameterStandardizer() |